Prioritize remediation by impact, not alert count

When this use case appears

This use case appears when teams operate across multiple cloud accounts, subscriptions, projects, workloads, identities, and data stores but lack a clear model for what creates material risk.

How Cloudryption helps

• Collects cloud evidence through scoped, read-only discovery.
• Normalizes assets, identities, findings, data stores, workloads, networks, and relationships into Current Security State.
• Identifies attack paths, crown jewels, privilege escalation, reachability, and blast-radius drivers.
• Defines an explicit Decision Objective and compares competing remediation strategies.
• Simulates expected security impact without presenting predicted values as verified outcomes.
• Applies Decision Governor controls for policy, RBAC, confidence, safety, rollback, and approval.
• Creates a remediation plan and issues work through Cloudryption Native Tickets, Jira, or ServiceNow.
• Tracks engineer execution action by action, including pending, in-progress, completed, blocked, and verification states.
• Re-evaluates post-change evidence and creates Decision Proof comparing predicted versus actual outcomes.
• Preserves the lifecycle in Decision Memory for governance, audit, and future decisions.

Operational remediation lifecycle

Evidence → Decision Objective → Strategy Simulation → Governed Plan → Approval → Ticket & Assignment → Execution Tracking → Post-change Verification → Decision Proof → Decision Memory.

What success looks like

Success is not only fewer findings. It is fewer material attack paths and smaller blast radius verified after change, with a complete record of the recommendation, expected outcome, approval, execution, residual exposure, and actual result.